کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
411176 | 679184 | 2007 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Neural-fuzzy control of truck backer-upper system using a clustering method
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Truck backer-upper problem is a typical benchmark for many control methods in nonlinear system identification. In this paper, first, the traditional fuzzy control system is studied for the truck backer-upper problem, and then the fuzzy control system based on a hybrid clustering method and neural network is presented. The clustering method is proposed to construct an initial fuzzy model to determine the number of fuzzy rules from the intuitionistic-desired trajectories. Neural network is used to train the parameters of the constructed fuzzy model (neural-fuzzy system). Compared with traditional fuzzy system, this neural-fuzzy controller demonstrates advantages not only on the control performance but also on its convenience and feasibility.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 70, Issues 4–6, January 2007, Pages 680–688
Journal: Neurocomputing - Volume 70, Issues 4–6, January 2007, Pages 680–688
نویسندگان
Ying Li, Yuanchun Li,